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» Sensor Errors Prediction Using Neural Networks
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SODA
2008
ACM
100views Algorithms» more  SODA 2008»
14 years 11 months ago
A tight lower bound for parity in noisy communication networks
We show a tight lower bound of (N log log N) on the number of transmission required to compute the parity of N bits (with constant error) in a network of N randomly placed sensors...
Chinmoy Dutta, Yashodhan Kanoria, D. Manjunath, Ja...
CDC
2010
IEEE
173views Control Systems» more  CDC 2010»
14 years 4 months ago
Corrective consensus: Converging to the exact average
Consensus algorithms provide an elegant distributed way for computing the average of a set of measurements across a sensor network. However, the convergence of the node estimates t...
Yin Chen, Roberto Tron, Andreas Terzis, René...
BMCBI
2004
185views more  BMCBI 2004»
14 years 9 months ago
Linear fuzzy gene network models obtained from microarray data by exhaustive search
Background: Recent technological advances in high-throughput data collection allow for experimental study of increasingly complex systems on the scale of the whole cellular genome...
Bahrad A. Sokhansanj, J. Patrick Fitch, Judy N. Qu...
TMC
2012
13 years 4 days ago
Secure Initialization of Multiple Constrained Wireless Devices for an Unaided User
—A number of protocols and mechanisms have been proposed to address the problem of initial secure key deployment in wireless networks. Most existing approaches work either with a...
Toni Perkovic, Mario Cagalj, Toni Mastelic, Nitesh...
KES
2005
Springer
15 years 3 months ago
Fuzzy Logic and Neuro-fuzzy Modelling of Diesel Spray Penetration
: The aim of this study was to demonstrate the effectiveness of an adaptive neuro-fuzzy inference system (ANFIS) for the prediction of diesel spray penetration length in the cylind...
Shaun H. Lee, Robert J. Howlett, Simon D. Walters,...